Four checkpoints, not one model. This repository is a controlled experiment: two training arms × two seeds, 10,000 steps each, identical in every respect except how packed training rows are masked. The comparison is the artifact. Any single checkpoint here is a weak 230M research model and is not meant for use. Each arm lives on its own branch: Weights are fp32, exactly as trained — these are the tensors every number below was computed from. Optimizer state is not included. nanoVLM packs several unrelated samples into one 4096-token row to avoid padding waste. Upstream's packing applies a single causal mask over the whole row, so a sample attends into the earlier, unrelated samples packed…
Independent publisher
Arjun Srinivasan Ambalam
Arjun1995
Deep Learning, Computer Vision
Models in Library1
Datasets in Library0
Models on Hugging Face3
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Published tasks: Image and text to text.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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